Inference Engineering - Platform Site Reliability Engineer

Inference Engineering - Platform Site Reliability Engineer

Full-Time 81000 - 99000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Own the operational health of our platform and ensure reliability across diverse compute backends.
  • Company: Join Callosum, a pioneering Intelligent Systems Company based in London.
  • Benefits: Competitive salary, equity, private healthcare, and relocation support.
  • Other info: Dynamic work environment with a commitment to inclusivity and equal opportunities.
  • Why this job: Be at the forefront of AI infrastructure and make a real impact on cutting-edge technology.
  • Qualifications: Strong background in SRE or production engineering with customer-facing systems experience.

The predicted salary is between 81000 - 99000 £ per year.

About Us

The last era of AI scaled on a single bet: bigger models, more identical chips, more data. As problems grow more complex and the requirements of intelligence more diverse, that bet is breaking down. Real-world problems are heterogeneous: no single model or chip can solve them alone. The next era of AI requires heterogeneity at the infrastructure level - diverse models on diverse chips, each with distinct strengths, co-evolving into systems of capability that move the Pareto frontier of what is possible. That's what we are building.

Callosum is the Intelligent Systems Company. We started from questioning what actually creates intelligence. We believe there is no single answer, but rather a system-level solution. We co-evolve models, workflows, and silicon together to show that intelligence does not come from a single component, but it emerges from the diversity of co-optimised mechanisms working together and aware of each other. Heterogeneity will define the next era of compute, and is a principle that holds in biological, neuronal, and economic systems alike.

In early 2026 we launched with results showing orders of magnitude improvements in performance, and this is only the beginning. Agentic AI is the future of how intelligence is deployed: multi-step, long-horizon, and operating in changing environments. These systems are inherently heterogeneous, and can only be as powerful as the infrastructure that runs them.

We are engineers and scientists based in London, working together across the full depth of the stack. We are curious, intellectually honest, and building what doesn't exist yet. If you thrive on uncharted territory and are energised by the scale of the challenge, we'd love to hear from you.

About the Role

Our platform is the production system our customers route real traffic through. When it degrades, their product degrades. You will own its operational health end-to-end: SLOs, observability, incident response, deployment discipline, and capacity planning across heterogeneous compute backends. As the platform scales to millions of concurrent requests across heterogeneous compute, the work shifts from building the operational foundation to defending it under conditions most teams never encounter.

You’ll define "production-grade" means for a platform at the centre of a fast-growing company, and own it end to end. The reliability practice is yours to build. You will work closely with the platform team, setting the technical direction. You will work closely with the hardware and orchestration teams to expose heterogeneous backends reliably through the platform.

Who You'll Build

  • Service-level objectives, monitoring, alerting, and observability
  • On-call and incident response: runbooks, escalation, blameless postmortems, and follow-through
  • Capacity planning and the operational side of running across heterogeneous compute backends

What You Bring

  • Strong SRE or production-engineering background running customer-facing systems at scale
  • Fluency with modern operational tooling: observability stacks, container orchestration, infrastructure-as-code, CI/CD
  • Experience owning incident response and driving reliability improvements.
  • Compliance execution experience

What Sets You Apart

  • Open-source contributions to relevant infrastructure, or production systems whose scale and complexity you can speak to in detail
  • Early-stage and AI-native company experience

What We Offer

  • Competitive Salary, determined by skills and experience
  • Equity & Ownership
  • Private healthcare
  • We offer Visa sponsorship and relocation benefits to hire the best in the world
  • We work in person at our London office. You'll have the tools, space and setup to do your best work, and if you have specific needs, just tell us
  • We're committed to building an inclusive workplace where everyone feels welcome, and believe in equal opportunities for all.

Inference Engineering - Platform Site Reliability Engineer employer: Callosum Technologies Ltd

At Callosum Technologies Ltd., we pride ourselves on fostering a dynamic and innovative work culture in the heart of London. As a Senior API Platform Architect, you'll not only lead the architectural vision but also have ample opportunities for professional growth and development within a collaborative team environment. Our commitment to employee well-being is reflected in our competitive benefits package and the chance to work on cutting-edge technology that makes a real impact.

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Contact Details:

Callosum Technologies Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Inference Engineering - Platform Site Reliability Engineer

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Callosum Technologies Ltd or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Callosum Technologies Ltd.

Tap into Online Developer Communities

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We think you need these skills to ace Inference Engineering - Platform Site Reliability Engineer

Problem-Solving Skills
Communication Skills
Adaptability
Teamwork
Compassion
Caring for Others
Emotional Support

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Callosum Technologies Ltd.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Callosum Technologies Ltd and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Callosum Technologies Ltd

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Callosum Technologies Ltd uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.